vaseline555/Algorithms-for-Optimization-Python

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vaseline555/Algorithms-for-Optimization-Python

vaseline555

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Unofficial implementation in Python porting of the book "Algorithms for Optimization" (2019) MIT Press by By Mykel J. Kochenderfer and Tim A. Wheeler

Federated-Learning-in-PyTorch

Handy PyTorch implementation of Federated Learning (for your painless research)

SuPerFed

(SIGKDD 2022) Connected Low-Loss Subspace Learning for a Personalization in Federated Learning (https://arxiv.org/abs/2109.07628)

Federated-Learning-with-Flower

Simple simulation of federated learning (FedAvg) using Flower framework

Prototypical-Networks-PyTorch

Prototypical Networks (Snell et al., 2017; ProtoNet) implemented in PyTorch

Model-Agnostic-Meta-Learning-PyTorch

Model Agnostic Meta Learning (Finn et al., 2017; MAML) implemented in PyTorch

T2D-Predictive-Modeling-for-Korean-with-gPRS-and-Metabolites

Source code of the paper, "Prediction of Type 2 Diabetes using Genome-wide Polygenic Risk Score and Metabolic Profiles: A Machine Learning Analysis of Population-based 10-year Prospective Cohort Study".

Blockchain-based-Electronic-Lab-Notebook

Course project of MGE450 Project Lab, UNIST (Hyperledger Composer)

Object-Oriented-Programming

Course works of CSE241 Object Oriented Programming, UNIST

Yelp-Restaurant-Photo-Classification

Past Kaggle competition : Yelp Restaurant Photo Classification

Jupyter Notebook

Least-Squares-Audio-Processing

Course project of MGE201 Operations Research I, UNIST

Classifying-Brain-Signal-of-Pain

Course project of MGE304 Management Engineering Methodologies, UNIST

vaseline555.github.io